Book Recommendation System - Unsupervised
The Book Recommendation System is designed to assist users in discovering books that align with their personal interests and reading habits. This system aims to address the challenge of information overload. The combination of a robust recommendation engine and an intuitive user interface ensures that users have a seamless experience.
The Book Recommendation System provides personalized book suggestions using Popularity-Based Recommender, Collaborative Filtering, and Cosine Similarity. Implemented with Flask, it allows users to enter a book title and receive tailored recommendations based on their preferences.
This project explores diverse "Recommendation Techniques", each offering a distinct approach to predicting user preferences.
Project is stable & documentation will be completed soon. Thank you for your understanding and patience.
This project is a Book Recommendation System that uses two main approaches: Popularity-Based and Collaborative Filtering. It recommends top books based on their rating frequency and average ratings, and also provides personalized book suggestions by analyzing user interactions.
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Book Recommendation System
Book Recommendation System
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